Academic literature on the topic 'Techno-economic modeling'

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Journal articles on the topic "Techno-economic modeling"

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Pantaleo, Antonio, Mauro Villarini, Andrea Colantoni, Maurizio Carlini, Francesco Santoro, and Sara Rajabi Hamedani. "Techno-Economic Modeling of Biomass Pellet Routes: Feasibility in Italy." Energies 13, no. 7 (April 2, 2020): 1636. http://dx.doi.org/10.3390/en13071636.

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Wood and agricultural biomass pellets boost the potential as bio-fuels toward power production in tertiary and residential sectors. The production of pellets, however, is a multi-stage process where the supply-processing phases and the overall energy input strongly depend on the characteristics of the input biomass. In this paper, we describe the key features of the market for pellets in Italy, including national production and consumption data, production costs and prices, the available energy conversion systems, and the current regulatory issues. Moreover, we outline the main technical, economic, and end-user barriers that should be addressed in order to foster the growth of Italian pellet production. Additionally, we propose a methodology to evaluate the profitability of the pellet production chain, by assessing the investment and operation costs as a function of the quality of the raw biomass. The approach is applied to a real case study of a small firm producing wooden frames along with dry wood chips as the main by-product, which can be utilized subsequently for pellet production. Moreover, in order to optimize the size of the pellet production plant, further biomass was purchased from the market, including wood pruning and agricultural residues, wood chips from forestry, and uncontaminated residues of wood processing firms. A sensitivity analysis of the main technical and economic parameters (including the cost and quality of raw material, pellet market value, investment and operational costs, and plant lifetime) indicated that the biomass market price considerably affects the profitability of pellet production plants, particularly where the biomass has a high moisture content. Therefore, a 20% increase in the price of biomass with a high moisture content leads to a 60% fall in profitability index, turning it into negative one. This is due in particular to the costs of pre-treatment and drying of biomass, as well as to the lower energy content of wet biomass. As a result, the use of forestry residues with high moisture and high ash content, high costs of collection/transport, and high costs of pre-treatment and drying is not financially competitive.
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Noack, Jens, Lars Wietschel, Nataliya Roznyatovskaya, Karsten Pinkwart, and Jens Tübke. "Techno-Economic Modeling and Analysis of Redox Flow Battery Systems." Energies 9, no. 8 (August 10, 2016): 627. http://dx.doi.org/10.3390/en9080627.

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Agrawal, Sunilkumar, and Prasanta Kundu. "Techno-economic Unified OPF Modeling for VSC-HVDC Converter Installation." Electrica 21, no. 3 (September 10, 2021): 352–65. http://dx.doi.org/10.5152/electrica.2021.21014.

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Svetnik, Nataliia. "Substantiation and Modeling of Effects from the Implementation of Industrial Policy in the Context of Techno-Economic Paradigm Shift." Bulletin of Baikal State University 28, no. 4 (December 27, 2018): 661–73. http://dx.doi.org/10.17150/2500-2759.2018.28(4).661-673.

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After the recent economic crises, a necessity for industrial policy developing became obvious both for developed and developing countries. In 2014 Russia adopted a Fundamental federal law on industrial policy, but there are however a number of problems to be solved, such as an assessment of the impact of the implementation of industrial policy alternatives. In the author's opinion, the solution of these problems can be based on the concept of techno-economic paradigm shift. Using the correlation and regression analysis, the dependence of GDP on the development of high-tech industries was studied on the example of technologically advanced countries (USA, China, and Japan) and also Russia. The study was conducted in the absence of developed tools and limited statistics which could provide an indirect basis for assessing the impact of techno-economic paradigm on economic growth and well-being of the population. The author concludes that of the three examined indicators, the high-tech export is the most representative. It can thus be recommended as one of the criteria for assessing impact evaluations of the implementation of industrial policy, which can meet the challenges of scientific and technological progress at the shift of techno-economic paradigms.
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Egging-Bratseth, Ruud. "A Techno-Economic Perspective on Natural Gas and Its Value Chain." Gases 1, no. 1 (November 24, 2020): 1–18. http://dx.doi.org/10.3390/gases1010001.

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We describe the elements and actors in the global natural gas value chains with an emphasis on characteristics relevant for large-scale energy system and market modeling. We give backgrounds on natural gas as a hydrocarbon to provide a rationale and understanding for what functional representations in mathematical programming models aim to represent. Simply taking the most advanced and detailed functional forms for all value chain characteristics and activities will typically result in numerical intractability. One should carefully determine what is needed to address a research question or analyze a business case. Recent advances in mathematical programming do allow solving large models with adequate detail for many types of analysis. We discuss which functional forms and modeling approaches can be appropriate for representing various characteristics in different types of analysis and provide a succinct and general mathematical programming formulation reflecting the optimization problems for different types of actors in the value chain. We provide an implementation for a stylized network using GAMS.
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Lin, Meng, and Sophia Haussener. "Techno-economic modeling and optimization of solar-driven high-temperature electrolysis systems." Solar Energy 155 (October 2017): 1389–402. http://dx.doi.org/10.1016/j.solener.2017.07.077.

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Cervi, Walter Rossi, Rubens Augusto Camargo Lamparelli, Joaquim Eugênio Abel Seabra, Martin Junginger, Sierk Jong, and Floor Hilst. "Spatial modeling of techno‐economic potential of biojet fuel production in Brazil." GCB Bioenergy 12, no. 2 (December 14, 2019): 136–57. http://dx.doi.org/10.1111/gcbb.12659.

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Иванников, Валерий, Valeriy Ivannikov, Юлия Пильник, Yuliya Pilnik, Юрий Ермолов, and Yuriy Ermolov. "FORECAST-ANALYTICAL MODELING OF TECHNO-ECONOMIC INDICATORS IN REGIONAL FOREST TRANSPORT SYSTEMS." Forestry Engineering Journal 8, no. 3 (September 10, 2018): 30–37. http://dx.doi.org/10.12737/article_5b97a15d640949.77494456.

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Wood, Christine, Kurt A. Rosentrater, and Kasiviswanath Muthukumarappan. "Techno-economic modeling of a corn based ethanol plant in 2011/2012." Industrial Crops and Products 56 (May 2014): 145–55. http://dx.doi.org/10.1016/j.indcrop.2014.03.001.

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Mungodla, Sarah Gabashwediwe, Linda Zikhona Linganiso, Sukoluhle Mlambo, and Tshwafo Motaung. "Economic and technical feasibility studies: technologies for second generation biofuels." Journal of Engineering, Design and Technology 17, no. 4 (August 5, 2019): 670–704. http://dx.doi.org/10.1108/jedt-07-2018-0111.

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Purpose In 2008, a number of Southern African countries cultivated about 900,000 ha of Jatropha, with a number of biodiesel plants ready for production; however, none of the projects succeeded. In 2014, KiOR advanced biofuel Energy Company in the USA announced bankruptcy due to incompetent technology. Studies disclose that the reasons for biofuel plants failure are not only due to lack of incentives and unclear policies but also due to lack of economic feasibility and low production yields. This paper aims to review the techno-economy assessment of second-generation biofuel technologies. The purpose of this paper is to summarize specific techno-economic indicators such as production cost, technology efficiency and process life cycle analysis for advanced biofuel technology and to narrate and illustrate a clear view of what requires assessment to deploy a feasible advanced biofuel technology. This study also reviews assessment of biomass supply chain, feedstock availability and site selection criteria. The review also elaborates on the use of different processes, forecasting and simulation-modeling tools used in different techno-economic analysis studies. The review provides guidance for conducting a technical and economic feasibility study for the advanced biofuels energy business. Design/methodology/approach The aim of this review is, therefore, to evaluate the techno-economic feasibility studies for the establishment of viable industrial scale production of second-generation biofuels. It does so by grouping studies based on technology selection, feedstock availability and suitability, process simulation and economies as well as technology environmental impact assessment. Findings In conclusion, techno-economic analysis tools offer researchers insight in terms of where their research and development should focus, to attain the most significant enhancement for the economics of a technology. The study patterns within the scope of techno-economics of advanced biofuel reveal that there is no generic answer as to which technology would be feasible at a commercial scale. It is therefore important to keep in mind that models can only simplify and give a simulation of reality to a certain extent. Nevertheless, reviewed studies do not reach the same results, but some results are logically similar. Originality/value The originality of this article specifically illustrates important technical and economic indicators that should be considered when conducting feasibility studies for advance biofuels.
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Dissertations / Theses on the topic "Techno-economic modeling"

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Methuku, Shireesha. "MODELING OF THE BIOMASS POWER GENERATION AND TECHNO-ECONOMIC ANALYSIS." MSSTATE, 2009. http://sun.library.msstate.edu/ETD-db/theses/available/etd-11052009-093723/.

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Biomass is one of the renewable energy sources being used widely for power generation. This research work includes developing a comprehensive model for a biomass based power generation system as well as analyzing the technical, economical, and environmental impacts. The research objectives include modeling of the system, stability studies, and sensitivity analysis using MATLAB/Simulink. A mathematical model for the gas turbine has been developed and successfully interconnected with the distribution network. Transient stability of the power system has been carried out for four bus and six bus test case systems. Maximum rotor speed deviation, oscillation duration, rotor angle, and mechanical power have been taken as the stability indicators to analyze the system characteristics. Additionally, the sensitivity of the system to the changes of gas turbine parameters has been investigated under balanced and unbalanced fault scenarios. The economical and environmental impacts of the biomass have been analyzed using HOMER software developed by the National Renewable Energy Laboratory (NREL). The net present cost of the four biomass resources namely agricultural resources, forest residues, animal waste, and energy crops were obtained and the comparison of the costs of the biomass fuels as well as the diesel have been carried out. To investigate the environmental impact, carbon emissions of the different biomass fuels have been explored using HOMER.
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Gårdbro, Gustav. "Techno-economic modeling of the supply chain for torrefied biomass." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-89698.

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Torrefaction and densification of biomass can provide an important piece in the puzzle of phasing out fossil fuels in favor of renewable alternatives. This new energy carrier shares many of the advantages with fossil coal in terms of energy density, hydrophobicity and burner feeding but is carbon neutral and renewable. It also lacks the challenges of many other renewable alternatives, especially irregular availability. A model was developed in Excel as sales support for BioEndev, one of the leading actors in the process of taking torrefaction to a commercial market, assessing the black pellet supply chain from feedstock to end user and comparing it to white pellets. Data was obtained from literature, industry and BioEndev. The model can be used for different parameters for price of feedstock, capital and operating expenditures, transport and handling costs and analyze 28 different cases. It also includes simplified calculations for energy input and greenhouse gas emissions. A case study for two different supply chains was performed with the model. One assessed a production facility in northern Sweden with distribution to a consumer in Denmark. The other a torrefaction plant in southeastern USA with distribution to a consumer in the Netherlands. The cost for delivering black and white pellets from Sweden to Denmark was found to be 33.0 €/MWh and 35.3 €/MWh respectively. For the case of delivering from USA to the Netherlands, the total supply chain cost was 27.6 €/MWh for white pellets and 24.7 €/MWh for black pellets. Suggestions for further work are to 1) develop the model outside this study’s limitations, for example by adding integration options for the torrefaction facility or by different end user configurations, and 2) expand the scope to also comparing black pellets to coal to see how big the gap is and which political incentives that could shrink this gap.
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Shivani. "Techno-Economic Potential of Enhanced Coal Recovery through Middlings Liberation and Re-Processing." UKnowledge, 2016. http://uknowledge.uky.edu/mng_etds/29.

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The typical preparation plant producing coal for the utility market targets a relative separation density in the plant of around 1.60 whereas plants generating metallurgical coal use relative cut point density values approaching 1.50. In some cases, achieving the specified coal quality requires operating at lower cut point values, which results in a significant loss of valuable coal. In these situations, a middlings stream can be produced using a secondary separator or a three-product unit, which would allow crushing of the middlings for liberation purposes and re-introduction into the plant feed. In this manner, higher quality coal can be produced while maximizing plant yield. A detailed laboratory analysis was conducted to study the liberation characteristics resulting from the crushing of middlings at different top sizes. The experimental data were later used as input for modeling and simulation of plant flowsheet in LIMN. Simulations were run for several regrinding cases. The results of the current study investigating the economic benefits of middlings liberation and re-treatment are presented and discussed in this thesis. Improvement up to 6% in plant yield with 16-21% reduction in ash and 14-18% sulfur reductions can be achieved by crushing the +1/2 inch middlings to a ½-inch top size.
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Williams, Nathaniel J. "Microgrid Utilities for Rural Electrification in East Africa: Challenges and Opportunities." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/873.

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Expanding access to electricity is central to development in East Africa but massive increases in investment are required to achieve universal access. Private sector participation in electrification is essential to meeting electricity access targets. Policy makers have acknowledged that grid extension in many remote rural areas is not as cost effective as decentralized alternatives such as microgrids. Microgrid companies have been unable to scale beyond pilot projects due in part to challenges in raising capital for a business model that is perceived to be risky. This thesis aims to identify and quantify the primary sources of investment risk in microgrid utilities and study ways to mitigate these risks to make these businesses more viable. Two modeling tools have been developed to this end. The Stochastic Techno-Economic Microgrid Model (STEMM) models the technical and financial performance of microgrid utilities using uncertain and dynamic inputs to permit explicit modeling of financial risk. This model is applied in an investment risk assessment and case study in Rwanda. Key findings suggest that the most important drivers of risk are fuel prices, foreign exchange rates, demand for electricity, and price elasticity of demand for electricity. The relative importance of these factors is technology dependent with demand uncertainty figuring stronger for solar and high solar penetration hybrid systems and fuel prices driving risk in diesel power and low solar penetration hybrid systems. Considering uncertainty in system sizing presents a tradeoff whereby a decrease in expected equity return decreases downside risk. High solar penetration systems are also found to be more attractive to lenders. The second modeling tool leverages electricity consumption and demographic data from four microgrids in Tanzania to forecast demand for electricity in newly electrified communities. Using statistical learning techniques, improvements in prediction performance was achieved over the historical mean baseline. I have also identified important predictors in estimating electricity consumption of newly connected customers. These include tariff structures and prices, preconnection sources of electricity and lighting, levels of spending on electricity services and airtime, and pre-connection appliance ownership. Prior exposure to electricity, disposable income, and price are dominant factors in estimating demand.
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Mohammadi, Saeed. "Techno-economic analysis of the integration of oxygen membranes for oxygen production in biomass gasification plants." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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This thesis is relying on modeling of MIEC membranes inside a gasifier and it seeks to find an appropriate configuration to use in gasification setup for pure oxygen production and use it inside the gasifier in a gasification process. Application of pure oxygen instead of air can play a key role in gasification processes. Since conventional methods for separation of oxygen such as cryogenic distillation are energy intensive and some of them cannot provide full purity for oxygen, an alternative method can be a good option. This substitute method which is the focus of this study, can be achieved by using specific ceramic membranes directly inside the gasifier. Although some effort have been spent on these membranes, there is still a lack of study on direct integration inside gasifier using this technology. In the present work, a modeling study of these membranes has been carried out using Engineering Equation Solver (EES). EES is a commercial software package used for solution of systems of simultaneous non-linear equations. The gasifier model was previously prepared and was studied to simulate the behavior of a downdraft gasifier. During the simulation some hypothesizes are assumed to make the available flux, model for the chosen membrane, keep working. Besides, an alternative membrane is assumed to have more precise results. Then all the suggested configurations were studied based on energy consumption and economic aspects. The economic studies was focused on the alternative which had lower flux. So, the area of the membrane required is more. Finally, the results where compared with a similar cryogenic distillation plant used to produce pure oxygen.
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Gunawan, Gan Philipe. "Concentrated Solar Thermal Plant for Future Fuels Production : Process Modeling and Techno-economic Analysis of Syngasoline, Syndiesel, Ethanol and Methanol Production Using Thermochemical Cycle based on Metal Oxide." Thesis, KTH, Kraft- och värmeteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235512.

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Concentrated Solar Thermal technology (CST) is a very promising renewable energy technology and has a broad range of use. Conventionally, CST systems are mostly used for power generation according to the Rankine cycle and thus often referred to as Concentrated Solar Power (CSP). In this present study, the solar heat is utilized to drive a thermochemical redox cycle of a metal-oxide in order to produce synthetic gas, a combination of hydrogen and carbon monoxide. Later, the synthetic gas is converted into usable liquid fuel whereas the production pathway is CO2 free. This thesis focuses on the process modeling and economic evaluation of solar-driven future fuels production plants. Four future fuels have been selected and modeled using commercial simulation software Aspen Plus®. These 4 future fuels are syngasoline, syndiesel, ethanol and methanol where they can be seen as a very good substitute for current transportation fuels. The heat required at high temperature is delivered using concentrated solar thermal technology with tower configuration for which the heliostat field is designed using in-house software HFLCAL developed by DLR. Syngas is converted into aforementioned fuels using either Fischer-Tropsch or plug-flow reactor. The reactor is modeled taking into account the kinetic of reaction for each fuel, while in case of the absence of kinetic, a stoichiometric approach is implemented. To analyze the hourly plant’s performance, a quasi-steady state analysis is done within MATLAB® environment. The metric used to evaluate the plants are production cost in €/L and overall thermal efficiency. The results show that aforementioned conversion pathway yields higher production costs compared to current market while the lowest production cost is obtained for Methanol at 1.42 €/L. It is shown that solid to solid heat exchanger (STS) efficiency plays a major role in order to make the plant more economically viable. Combining electricity supply of Photovoltaic (PV) and CSP is also shown to be one way to reduce the production cost. If the plant combines PV-CSP is used as the electricity source, syngasoline emerges to be the closest proposed plant to current market fuel production cost with a production cost of 5.99 €/L at the base case scenario which corresponds to 622% relative difference with current market’s production cost and 2.87 €/L at the best case scenario which corresponds to 245% relative difference with current market’s production cost. At the base case scenario, the highest overall thermal efficiency is obtained for the syngasoline plant (4.05%) and at the best case scenario for the ethanol plant (9.2%).
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Lin, Long. "Technical, Microbial, and Economic Study on Thermophilic Solid-state Anaerobic Digestion of Lignocellulosic Biomass." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500505570855855.

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Leuthold, Florian U. "Economic Engineering Modeling of Liberalized Electricity Markets: Approaches, Algorithms, and Applications in a European Context." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-26135.

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This dissertation focuses on selected issues in regard to the mathematical modeling of electricity markets. In a first step the interrelations of electric power market modeling are highlighted a crossroad between operations research, applied economics, and engineering. In a second step the development of a large-scale continental European economic engineering model named ELMOD is described and the model is applied to the issue of wind integration. It is concluded that enabling the integration of low-carbon technologies appears feasible for wind energy. In a third step algorithmic work is carried out regarding a game theoretic model. Two approaches in order to solve a discretely-constrained mathematical program with equilibrium constraints using disjunctive constraints are presented. The first one reformulates the problem as a mixed-integer linear program and the second one applies the Benders decomposition technique. Selected numerical results are reported.
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Abdin, Adam. "Techno-economic modeling and robust optimization of power systems planning under a high share of renewable energy sources and extreme weather events An integrated framework for operational flexibility assessment in multi-period power system planning with renewable energy production." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLC046.

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Les objectifs récents en ce qui concerne la durabilité des systèmes électriques et l'atténuation des menaces liées au changement climatique modifient la portée des exigences de planification de ces systèmes. D'une part, les systèmes durables d'énergie à faible émission de carbone qui comportent une part élevée de sources d'énergie renouvelables intermittentes(IRES) se caractérisent par une forte augmentation de la variabilité intertemporelle et nécessitent des systèmes flexibles capables d'assurer la sécurité de l'approvisionnement électrique. D'autre part, la fréquence et la gravité accrues des phénomènes climatiques extrêmes menacent la fiabilité du fonctionnement des réseaux électriques et exigent des systèmes résilients capables de résister à ces impacts potentiels. Tout en s'assurant que les incertitudes inhérentes au système sont bien prises en compte directement au moment de la prise des décisions de planification à long terme. Dans ce contexte, la présente thèse vise à développer une modélisation technicoéconomique et un cadre d'optimisation robuste pour la planification des systèmes électriques multi-périodes en considérant une part élevée d'IRES et la résilience aux phénomènes climatiques extrêmes. Le problème spécifique de planification considéré est celui du choix de la technologie, de la taille et du programme de mise en service des unités de production conventionnelles et renouvelables sous des contraintes techniques, économiques,environnementales et opérationnelles. Dans le cadre de ce problème, les principales questions de recherche à aborder sont : (i) l'intégration et l'évaluation appropriées des besoins de flexibilité opérationnelle en raison de la variabilité accrue des parts élevées de la production d'IRES, (ii) la modélisation et l'intégration appropriées des exigences de résilience contre les phénomènes climatiques extrêmes dans la planification du système électrique et (iii) le traitement des incertitudes inhérentes de l'offre et la demande dans ce cadre de planification. En résumé, les contributions originales de cette thèse sont :- Proposer un modèle de planification du système électrique intégré multi période avec des contraintes dynamiques et en considérant un pourcentage élevé de pénétration des énergies renouvelables.- Introduire la mesure du déficit de flexibilité prévu pour l'évaluation de la flexibilité opérationnelle.- Proposer un ensemble de modèles linéaires pour quantifier l'impact des vagues de chaleur extrêmes et de la disponibilité de l'eau sur le déclassement des unités de production d'énergie thermique et nucléaire, la production d'énergie renouvelable et la consommation électrique du système.- Présenter une méthode permettant d'intégrer explicitement l'impact des phénomènes climatiques extrêmes dans le modèle de planification du système électrique.- Traiter les incertitudes inhérentes aux paramètres de planification du système électrique par la mise en oeuvre d'un nouveau modèle d'optimisation adaptatif robuste à plusieurs phases.- Proposer une nouvelle méthode de solution basée sur l'approximation des règles de décision linéaires du modèle de planification robuste.- Appliquer le cadre proposé à des études de cas de taille pratique basées sur des projections climatiques réalistes et selon plusieurs scénarios de niveaux de pénétration des énergies renouvelables et de limites de carbone pour valider la pertinence de la modélisation globale pour des applications réelles
Recent objectives for power systems sustainability and mitigation of climate change threats are modifying the breadth of power systems planning requirements. On one hand, sustainable low carbon power systems which have a high share of intermittent renewable energy sources (IRES) are characterized by a sharp increase in inter-temporal variability and require flexible systems able to cope and ensure the security of electricity supply. On the other hand, the increased frequency and severity of extreme weather events threatens the reliability of power systems operation and require resilient systems able to withstand those potential impacts. All of which while ensuring that the inherent system uncertainties are adequately accounted for directly at the issuance of the long-term planning decisions. In this context, the present thesis aims at developing a techno-economic modeling and robust optimization framework for multi-period power systems planning considering a high share of IRES and resilience against extreme weather events. The specific planning problem considered is that of selecting the technology choice, size and commissioning schedule of conventional and renewable generation units under technical, economic, environmental and operational constraints. Within this problem, key research questions to be addressed are: (i) the proper integration and assessment of the operational flexibility needs due to the increased variability of the high shares of IRES production, (ii) the appropriate modeling and incorporation of the resilience requirements against extreme weather events within the power system planning problem and (iii) the representation and treatment of the inherent uncertainties in the system supply and demand within this planning context. In summary, the original contributions of this thesis are: - Proposing a computationally efficient multiperiod integrated generation expansion planning and unit commitment model that accounts for key short-term constraints and chronological system representation to derive the planning decisions under a high share of renewable energy penetration. - Introducing the expected flexibility shortfall metric for operational flexibility assessment. - Proposing a set of piece-wise linear models to quantify the impact of extreme heat waves and water availability on the derating of thermal and nuclear power generation units, renewable generation production and system load. - Presenting a method for explicitly incorporating the impact of the extreme weather events in a modified power system planning model. - Treating the inherent uncertainties in the electric power system planning parameters via a novel implementation of a multi-stage adaptive robust optimization model. - Proposing a novel solution method based on ``information basis'' approximation for the linear decision rules of the affinely adjustable robust planning model. - Applying the framework proposed to a practical size case studies based on realistic climate projections and under several scenarios of renewable penetration levels and carbon limits to validate the relevance of the overall modeling for real applications
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Sheets, Johnathon P. "Development of a Biomass-to-Methanol Process Integrating Solid State Anaerobic Digestion and Biological Conversion of Biogas to Methanol." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1493807817862038.

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Books on the topic "Techno-economic modeling"

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Ahmed, Tanveer. Modeling the Renewable Energy Transition in Canada: Techno-economic Assessments for Energy Management. Springer, 2016.

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Bridgwater, A. V., and M. Anders. Techno-economic Modelling of Coal Conversion Processes for Liquid Fuel Production. European Communities / Union (EUR-OP/OOPEC/OPOCE), 1991.

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Book chapters on the topic "Techno-economic modeling"

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Borowitzka, Michael A. "Techno-Economic Modeling for Biofuels from Microalgae." In Algae for Biofuels and Energy, 255–64. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5479-9_15.

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Mesogiti, I., E. Theodoropoulou, G. Lyberopoulos, F. Setaki, K. Filis, A. Di Giglio, A. Percelsi, and Anna Tzanakaki. "Techno-Economic Aspects of 5G Transport Network Deployments." In Optical Network Design and Modeling, 118–29. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38085-4_11.

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Gregg, David J., and John N. Saddler. "A Review of Techno-Economic Modeling Methodology for a Wood-to-Ethanol Process." In Biotechnology for Fuels and Chemicals, 609–23. Totowa, NJ: Humana Press, 1997. http://dx.doi.org/10.1007/978-1-4612-2312-2_53.

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Abdelaziz Mohamed, Mohamed, and Ali Mohamed Eltamaly. "Sizing and Techno-Economic Analysis of Stand-Alone Hybrid Photovoltaic/Wind/Diesel/Battery Energy Systems." In Modeling and Simulation of Smart Grid Integrated with Hybrid Renewable Energy Systems, 23–38. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64795-1_3.

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Herbst, Andrea, Steffi Schreiber, Witold-Roger Poganietz, Angelo Martino, and Dominik Möst. "Scenario Storyline in Context of Decarbonization Pathways for a Future European Energy System." In The Future European Energy System, 9–25. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60914-6_2.

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AbstractThis chapter presents a qualitative description of the scenario storylines for the REFLEX project. The scenario descriptions provide the overall qualitative framework for the modeling activities by setting-up two holistic socio-technical scenarios based on different storylines: the moderate renewable scenario (Mod–RES) as reference scenario and the (de-)centralized high renewable scenarios (High–RES) as ambitious policy scenarios. The chapter highlights the definition of main techno-economic framework parameters, macro-economic and societal drivers as well as of the considered political environment.
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Kudayberganov, A., and Z. Juraev. "Problems of Modeling Ecological and Economic Processes." In Techno-Societal 2018, 335–43. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16848-3_31.

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Dourado, Fernando, Ana Isabel Fontão, Marta Leal, Ana Cristina Rodrigues, and Miguel Gama. "Process Modelling and Techno-Economic Evaluation of an Industrial Airlift Bacterial Cellulose Fermentation Process." In Nanocellulose and Sustainability, 1–16. Boca Raton : CRC Press, [2018] | Series: Sustainability contributions through science and technology: CRC Press, 2018. http://dx.doi.org/10.1201/9781351262927-1.

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Dourado, Fernando, Ana Fontão, Marta Leal, Ana Cristina Rodrigues, and Miguel Gama. "Process Modeling and Techno-Economic Evaluation of an Industrial Bacterial NanoCellulose Fermentation Process." In Bacterial Nanocellulose, 199–214. Elsevier, 2016. http://dx.doi.org/10.1016/b978-0-444-63458-0.00012-3.

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Ogden, J., and N. Johnson. "Techno-economic analysis and modeling of carbon dioxide (CO2) capture and storage (CCS) technologies." In Developments and Innovation in Carbon Dioxide (CO2) Capture and Storage Technology, 27–63. Elsevier, 2010. http://dx.doi.org/10.1533/9781845699574.1.27.

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Kaur Channi, Harpreet. "Techno Economic Feasibility Analysis of Solar PV System in Jammu: A Case Study." In Solar Cells [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98809.

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Renewable sources of energy and related technologies are essential to the generation of energy worldwide. The photovoltaic (PV) is one of the renewable power technologies that support household electricity use. No prior research has studied the sustainability of the off-grid energy generation system in Jammu, India despite the potential of solar photovoltaics and significant amounts of global sun radiation in an area. The present work shown in the chapter is to calculate the residential load of the Patyari Kaltan situated in district Samba of Jammu by energy auditing. The NASA Surface Meteorology is used for the solar resource informationof selected village. The primary sources of electricity generation are fossil fuels. Recently, the energy demand and availability deficit has worsened due to the huge population and fossil fuels cannot fulfill huge energy requirement. Meanwhile they have negative impacts on the environment as well. Therefore, renewable energy offers suitable energy way out to the residents living in remote areas and in the areas near to Borders. In this paper the main aim is to examine the feasibility of solar-battery hybrid energy system to fulfill electrical demand of a residential area in a rural region in Jammu. The research shows that the cost of construction of the project can be repaid or recovered within 1 year 6 months. To accomplish the target, 214 solar panels of 325 watt are estimated to satisfy the demand 100 percent at all times. The findings of this modeling reveal that the off-grid PV system is both technical and economically viable for power generation; they may serve as a model for the successful development of the system for practical use. Furthermore, the model can promote assistance mechanisms for players in the renewable industry to introduce a PV system in residential buildings.
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Conference papers on the topic "Techno-economic modeling"

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Heikkinen, Mikko V. J., and Heikki Kokkinen. "Techno-Economic Modeling of Post-Payment Copyrights." In 2009 Third International Conference on Digital Society (ICDS). IEEE, 2009. http://dx.doi.org/10.1109/icds.2009.12.

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Sari, Tyas Kartika, Dianing Novita Nurmala Putri, Fajardhani, Syamsir Abduh, Maula Sukma Widjaja, and Chairul Gagarin Irianto. "Techno Economic Modeling for Replacement of Diesel Power Plant." In 2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE). IEEE, 2020. http://dx.doi.org/10.1109/iciee49813.2020.9276801.

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Bjorksten, Margareta, Olli-Pekka Pohjola, and Kalevi Kilkki. "Applying user segmentation and estimating user value in techno-economic modeling." In 2007 6th Conference on Telecommunication Techno-Economics. IEEE, 2007. http://dx.doi.org/10.1109/ctte.2007.4389879.

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Ghazi, Nima, and Julia M. Race. "Techno-Economic Modelling and Analysis of CO2 Pipelines." In 2012 9th International Pipeline Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ipc2012-90455.

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The main focus of this paper is on techno-economic modeling and analysis of CO2 pipelines, as it strives to develop a thorough understanding of the essential fluid-mechanics variables involved in modeling and analysis of such pipelines. The authors investigate and analyze the reasons behind the variations in the techno-economic results generated from seven different techno-economic models which are commonly used for construction and operation of CO2 pipelines. Such variations often translate into tens or, at times, hundreds of millions of dollars in terms of initial financial estimates at the Pre-FEED (Front End Engineering Design) or FEED stages for Carbon Capture and Storage (CCS) projects. Variations of this magnitude can easily bring much unwanted uncertainty to the feasibility of a CO2 pipeline project and they can potentially cause a major over or under estimation of the project’s true costs. The summary of a detailed analysis and assessment for these seven existing techno-economic models for CO2 pipeline transport has been presented in this paper. The analysis conducted indicates that some of these models are essentially identical and are rooted in similar fluid mechanics theories and assumptions. This type of analysis assists with explaining and narrowing down the variability of the models’ results. Based on these analyses, a refined and more accurate model was established and the development process was explained. The refined model uses the Reynolds number, Colebrook-White equation using the Darcy friction factor, and the Darcy-Weisbach pressure drop equation to establish the most accurate measure for the pipe’s diameter. To assess the CO2 pipeline’s total capital cost, total annual cost, and the levelized transport cost, a statistical regression analysis approach was suggested and the adjusted-r2 measure was proposed to assess the goodness-of-the-fit of the generated cost function. The accuracy of the new techno-economic model was validated with the figures of a proposed CO2 infrastructure project in the United Kingdom and also through hydraulic modeling.
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Christine Wood, Pierre Aubert, Kurt A Rosentrater, and Kasiviswanathan Muthukumarappan. "Techno-Economic Modeling of a Corn Based Ethanol Plant in 2011." In 2012 Dallas, Texas, July 29 - August 1, 2012. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2012. http://dx.doi.org/10.13031/2013.41810.

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Naudts, Bram, Marlies Van der Wee, Luc Andries, Sofie Verbrugge, and Didier Colle. "Techno-economic analysis of a software-defined optical media contribution and distribution network." In 2016 8th International Workshop on Resilient Networks Design and Modeling (RNDM). IEEE, 2016. http://dx.doi.org/10.1109/rndm.2016.7608276.

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Sinha, Antara, Rahul Ranjan, Abhishek Kumar Gupta, and Vivek Kumar Jain. "Techno-Economic Feasibility Analysis of Off-Grid Electrification for Remote Areas: A Review." In 2020 9th International Conference System Modeling and Advancement in Research Trends (SMART). IEEE, 2020. http://dx.doi.org/10.1109/smart50582.2020.9337112.

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Lieto, Alessandro, Ilaria Malanchini, Vinay Suryaprakash, and Antonio Capone. "Making the case for dynamic wireless infrastructure sharing: A techno-economic game." In 2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt). IEEE, 2017. http://dx.doi.org/10.23919/wiopt.2017.7959872.

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Bailley A Richardson and Kurt A Rosentrater. "Techno-Economic Modeling of a Degummed Soybean Oil Biorefinery in 2005 & 2012." In 2013 Kansas City, Missouri, July 21 - July 24, 2013. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2013. http://dx.doi.org/10.13031/aim.20131592072.

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"Techno-Economic Modeling of Soybean Oil Extraction with Hexane from 1980 to 2014." In 2015 ASABE International Meeting. American Society of Agricultural and Biological Engineers, 2015. http://dx.doi.org/10.13031/aim.20152188594.

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Reports on the topic "Techno-economic modeling"

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Drennen, Thomas, and Blake Lance. An Integrated Techno-economic Modeling Tool for sCO2 Brayton Cycles. Office of Scientific and Technical Information (OSTI), July 2019. http://dx.doi.org/10.2172/1762938.

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Baldick, Ross, Michael Webber, Carey King, Jared Garrison, Stuart Cohen, and Duehee Lee. Techno-economic Modeling of the Integration of 20% Wind and Large-scale Energy Storage in ERCOT by 2030. Office of Scientific and Technical Information (OSTI), December 2012. http://dx.doi.org/10.2172/1068534.

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Liu, Xiaobing, Jeffery Spitler, Jason DeGraw, Jack Cook, Joshua New, Mark Adams, and Seth Holladay. FY20 Third Milestone Report for Advanced Techno-Economic Modeling for Geothermal Heat Pump Applications in Residential, Commercial, and Industry Buildings. Office of Scientific and Technical Information (OSTI), August 2020. http://dx.doi.org/10.2172/1648982.

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Davis, Ryan, Matthew Wiatrowski, Christopher Kinchin, and David Humbird. Conceptual Basis and Techno-Economic Modeling for Integrated Algal Biorefinery Conversion of Microalgae to Fuels and Products. 2019 NREL TEA Update: Highlighting Paths to Future Cost Goals via a New Pathway for Combined Algal Processing. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1665822.

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